Software reliability prediction using Knowledge Engineering approach
Mayuri H. Molawade · International Journal of Advanced Trends in Computer Science and Engineering · 2019
Unwavering quality is one of significant quality traits of the product in which programming end client is more intrigued instead of the product engineer.In past some of good studies are carried out.But still some limitations are there as : Models have many shortcomings related to their unrealistic assumptions, environment-dependent applicability, and questionable predictability.In customary framework Predicting software abnormalities (like software maturing) brought about by asset depletion isn't a simple errand..It is difficult to know from the earlier the parameters Involved with the software maturing.In this manner the abilities of Machine Learning (ML) calculations and the statistical methods can be analyzed to foresee the framework crash because of software maturing brought about by asset fatigue.A software system failure is unsurprising and expansive consideration is given to software system failure prediction not on progress.In this paper we are going to understand limitation of given techniques from various papers and identify that scope of improvement.